S-QGPU: Shared quantum gate processing unit for distributed quantum computing

We propose a distributed quantum computing (DQC) architecture in which individual small-sized quantum computers are connected to a shared quantum gate processing unit (S-QGPU). The S-QGPU comprises a collection of hybrid two-qubit gate modules for remote gate operations. In contrast to conventional DQC systems, where each quantum computer is equipped with dedicated communication qubits, S-QGPU effectively pools the resources (e.g., the communication qubits) together for remote gate operations, and, thus, significantly reduces the cost of not only the local quantum computers but also the overall distributed system. Our preliminary analysis and simulation show that S-QGPU's shared resources for remote gate operations enable efficient resource utilization. When not all computing qubits (also called data qubits) in the system require simultaneous remote gate operations, S-QGPU-based DQC architecture demands fewer communication qubits, further decreasing the overall cost. Alternatively, with the same number of communication qubits, it can support a larger number of simultaneous remote gate operations more efficiently, especially when these operations occur in a burst mode.

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Institutions

Publication Details

Journal
AVS Quantum Science
Published
2025-03-01
DOI
https://doi.org/10.1116/5.0241972
Citations
2
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
4.96

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article

S-QGPU: Shared quantum gate processing unit for distributed quantum computing

Yufei Ding, Shengwang Du, Chunming Qiao
2 citations
AVS Quantum Science
Quantum Computing Algorithms and Architecture
4.96
article

S-QGPU: Shared quantum gate processing unit for distributed quantum computing

Yufei Ding, Shengwang Du, Chunming Qiao
article en
2 citations

Abstract

We propose a distributed quantum computing (DQC) architecture in which individual small-sized quantum computers are connected to a shared quantum gate processing unit (S-QGPU). The S-QGPU comprises a collection of hybrid two-qubit gate modules for remote gate operations. In contrast to conventional DQC systems, where each quantum computer is equipped with dedicated communication qubits, S-QGPU effectively pools the resources (e.g., the communication qubits) together for remote gate operations, and, thus, significantly reduces the cost of not only the local quantum computers but also the overall distributed system. Our preliminary analysis and simulation show that S-QGPU's shared resources for remote gate operations enable efficient resource utilization. When not all computing qubits (also called data qubits) in the system require simultaneous remote gate operations, S-QGPU-based DQC architecture demands fewer communication qubits, further decreasing the overall cost. Alternatively, with the same number of communication qubits, it can support a larger number of simultaneous remote gate operations more efficiently, especially when these operations occur in a burst mode.

AVS Quantum ScienceVol. 7(1)
The University of Texas at Dallas (US), Purdue University West Lafayette (US), University of California San Diego (US), University at Buffalo, State University of New York (US)
National Science Foundation, U.S. Department of Energy, Cisco Systems, Air Force Office of Scientific Research
Openalex Percentile: Top 6%
Quantum Computing Algorithms and Architecture
4.96
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S-QGPU: Shared quantum gate processing unit for distributed quantum computing — Yufei Ding, Shengwang Du, et al. · AVS Quantum Science (2025) | TGRS Research Map | TGRS